iPhone 15 Pro
Geekbench AI Score
3743
Single Precision Score
6709
Half Precision Score
5433
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | icreatefrance |
| Upload Date | November 11 2024 12:51 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1647
306.2 IPS |
|
|
Image Classification (HP)
|
100% |
2900
539.4 IPS |
|
|
Image Classification (Q)
|
96% |
2007
374.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2459
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2990
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7377
8.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
14798
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13073
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1670
132.5 IPS |
|
|
Object Detection (HP)
|
97% |
3187
253.7 IPS |
|
|
Object Detection (Q)
|
94% |
2254
179.7 IPS |
|
|
Face Detection (SP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
6573
78.1 IPS |
|
|
Face Detection (Q)
|
100% |
3701
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6562
50.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12827
99.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8717
68.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18847
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31296
40.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26441
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4454
164.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6121
226.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4356
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5667
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5695
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3102
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6004
103.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5992
103.5 IPS |
